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bucketinfluencer.go
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// Licensed to Elasticsearch B.V. under one or more contributor
// license agreements. See the NOTICE file distributed with
// this work for additional information regarding copyright
// ownership. Elasticsearch B.V. licenses this file to you under
// the Apache License, Version 2.0 (the "License"); you may
// not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
// Code generated from the elasticsearch-specification DO NOT EDIT.
// https://github.com/elastic/elasticsearch-specification/tree/1ad7fe36297b3a8e187b2259dedaf68a47bc236e
package types
// BucketInfluencer type.
//
// https://github.com/elastic/elasticsearch-specification/blob/1ad7fe36297b3a8e187b2259dedaf68a47bc236e/specification/ml/_types/Bucket.ts#L80-L128
type BucketInfluencer struct {
// AnomalyScore A normalized score between 0-100, which is calculated for each bucket
// influencer. This score might be updated as
// newer data is analyzed.
AnomalyScore Float64 `json:"anomaly_score"`
// BucketSpan The length of the bucket in seconds. This value matches the bucket span that
// is specified in the job.
BucketSpan int64 `json:"bucket_span"`
// InfluencerFieldName The field name of the influencer.
InfluencerFieldName string `json:"influencer_field_name"`
// InitialAnomalyScore The score between 0-100 for each bucket influencer. This score is the initial
// value that was calculated at the
// time the bucket was processed.
InitialAnomalyScore Float64 `json:"initial_anomaly_score"`
// IsInterim If true, this is an interim result. In other words, the results are
// calculated based on partial input data.
IsInterim bool `json:"is_interim"`
// JobId Identifier for the anomaly detection job.
JobId string `json:"job_id"`
// Probability The probability that the bucket has this behavior, in the range 0 to 1. This
// value can be held to a high precision
// of over 300 decimal places, so the `anomaly_score` is provided as a
// human-readable and friendly interpretation of
// this.
Probability Float64 `json:"probability"`
// RawAnomalyScore Internal.
RawAnomalyScore Float64 `json:"raw_anomaly_score"`
// ResultType Internal. This value is always set to `bucket_influencer`.
ResultType string `json:"result_type"`
// Timestamp The start time of the bucket for which these results were calculated.
Timestamp int64 `json:"timestamp"`
// TimestampString The start time of the bucket for which these results were calculated.
TimestampString DateTime `json:"timestamp_string,omitempty"`
}
// NewBucketInfluencer returns a BucketInfluencer.
func NewBucketInfluencer() *BucketInfluencer {
r := &BucketInfluencer{}
return r
}